Robust qualitative estimation of time-varying contact rates in uncertain epidemics
We will inevitably face new epidemics where the lack of long time-series data and the uncertainty about the outbreak dynamics make difficult to obtain quantitative predictions. Here we present an algorithm to qualitatively infer time-varying contact rates from short time-series data, letting us pred...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Elsevier
2018-09-01
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Series: | Epidemics |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1755436517300750 |
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author | Marco Tulio Angulo Jorge X. Velasco-Hernandez |
author_facet | Marco Tulio Angulo Jorge X. Velasco-Hernandez |
author_sort | Marco Tulio Angulo |
collection | DOAJ |
description | We will inevitably face new epidemics where the lack of long time-series data and the uncertainty about the outbreak dynamics make difficult to obtain quantitative predictions. Here we present an algorithm to qualitatively infer time-varying contact rates from short time-series data, letting us predict the start, relative magnitude and decline of epidemic outbreaks. Using real time-series data of measles, dengue, and the current zika outbreak, we demonstrate our algorithm can outperform existing algorithms based on estimating reproductive numbers. Keywords: Epidemic prediction, Inference, Contact rate |
first_indexed | 2024-12-13T14:29:32Z |
format | Article |
id | doaj.art-862b5711db7a417ab6fd5cbb35f2397e |
institution | Directory Open Access Journal |
issn | 1755-4365 |
language | English |
last_indexed | 2024-12-13T14:29:32Z |
publishDate | 2018-09-01 |
publisher | Elsevier |
record_format | Article |
series | Epidemics |
spelling | doaj.art-862b5711db7a417ab6fd5cbb35f2397e2022-12-21T23:41:51ZengElsevierEpidemics1755-43652018-09-012498104Robust qualitative estimation of time-varying contact rates in uncertain epidemicsMarco Tulio Angulo0Jorge X. Velasco-Hernandez1CONACyT – Institute of Mathematics, Universidad Nacional Autónoma de México (UNAM), Juriquilla 76230, Mexico; Corresponding author.Institute of Mathematics, Universidad Nacional Autónoma de México (UNAM), Juriquilla 76230, MexicoWe will inevitably face new epidemics where the lack of long time-series data and the uncertainty about the outbreak dynamics make difficult to obtain quantitative predictions. Here we present an algorithm to qualitatively infer time-varying contact rates from short time-series data, letting us predict the start, relative magnitude and decline of epidemic outbreaks. Using real time-series data of measles, dengue, and the current zika outbreak, we demonstrate our algorithm can outperform existing algorithms based on estimating reproductive numbers. Keywords: Epidemic prediction, Inference, Contact ratehttp://www.sciencedirect.com/science/article/pii/S1755436517300750 |
spellingShingle | Marco Tulio Angulo Jorge X. Velasco-Hernandez Robust qualitative estimation of time-varying contact rates in uncertain epidemics Epidemics |
title | Robust qualitative estimation of time-varying contact rates in uncertain epidemics |
title_full | Robust qualitative estimation of time-varying contact rates in uncertain epidemics |
title_fullStr | Robust qualitative estimation of time-varying contact rates in uncertain epidemics |
title_full_unstemmed | Robust qualitative estimation of time-varying contact rates in uncertain epidemics |
title_short | Robust qualitative estimation of time-varying contact rates in uncertain epidemics |
title_sort | robust qualitative estimation of time varying contact rates in uncertain epidemics |
url | http://www.sciencedirect.com/science/article/pii/S1755436517300750 |
work_keys_str_mv | AT marcotulioangulo robustqualitativeestimationoftimevaryingcontactratesinuncertainepidemics AT jorgexvelascohernandez robustqualitativeestimationoftimevaryingcontactratesinuncertainepidemics |